[1]DAI Minghong,WANG Lachun,WEI Xingping.Spatial Difference of Water Resource Carrying Capacity of Guangxi Using Fussy Comprehensive Evaluation Model Based on Entropy Weight Method[J].Research of Soil and Water Conservation,2016,23(01):193-199.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
23
Number of periods:
2016 01
Page number:
193-199
Column:
Public date:
2016-02-28
- Title:
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Spatial Difference of Water Resource Carrying Capacity of Guangxi Using Fussy Comprehensive Evaluation Model Based on Entropy Weight Method
- Author(s):
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DAI Minghong1, WANG Lachun1, WEI Xingping2
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1. School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China;
2. Key Laboratory of GIS Application, College of Geography and Tourism, Chongqing Normal University, Chongqing 400047, China
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- Keywords:
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water resource carrying capacity; fussy comprehensive evaluation model; entropy eight method; spatial difference
- CLC:
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TV213
- DOI:
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- Abstract:
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Water resource carrying capacity evaluation is the basis of water security management. Selecting Guangxi Province, a typical karst region as the study area, we selected the evaluation indices from three sub-systems: water resource, socio-economic and ecological environment. The fuzzy comprehensive evaluation model of water resource carrying capacity was constructed to evaluate water resource carrying capacity of Guangxi in 2013 using entropy weight method. It was shown that the overall water resource carrying capacity in Guangxi in 2013 was in good condition. The water resource carrying capacity of Guilin City and Liuzhou City are in an ideal state. The water resource carrying capacity of Guigang City is in a non-carrying state. Other cities are in a carrying state. Seeing each subsystem, the overall water resource subsystem is in good condition, among which the highest index of water resource subsystem evaluation is found in Fangchenggang City, and the lowest one is observed in Nanning City and Guigang City. The ecological subsystem evaluation index is generally low, among which the highest index is found in Guilin City. The highest index of socio-economic subsystem evaluation is observed in Liuzhou City, Guilin City and Fangchenggang City, while the lowest is observed in Guigang City. The evaluation results of this method can help water resource planning and sustainable development and utilization in Guangxi and other regions.